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Social Media Retrieval

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Cover of 'Social Media Retrieval'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Social Video Retrieval: Research Methods in Controlling, Sharing, and Editing of Web Video
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    Chapter 2 Social Media Recommendation
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    Chapter 3 Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks
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    Chapter 4 Survey on Social Community Detection
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    Chapter 5 Detecting Multimedia Contents of Social Events in Social Networks
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    Chapter 6 Georeferencing in Social Networks
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    Chapter 7 Predicting User Tags in Social Media Repositories Using Semantic Expansion and Visual Analysis
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    Chapter 8 A Rule-Based Flickr Tag Recommendation System
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    Chapter 9 Sentic Computing for Social Media Analysis, Representation, and Retrieval
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    Chapter 10 Highlight Detection in Movie Scenes Through Inter-users, Physiological Linkage
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    Chapter 11 Toward Emotional Annotation of Multimedia Contents
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    Chapter 12 Privacy in Recommender Systems
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    Chapter 13 Geotag Propagation with User Trust Modeling
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    Chapter 14 Context-Aware Content Adaptation for Personalised Social Media Access
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    Chapter 15 Research in Social Media: How the EC Facilitates R&D Innovation
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    Chapter 16 Video Technology for Storage and Distribution of Personalised Media
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    Chapter 17 Social Aware TV Content Delivery Over Intelligent Networks
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    Chapter 18 Distributed Media Synchronisation for Shared Video Watching: Issues, Challenges and Examples
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    Chapter 19 eGuided: Sharing Media in Academic and Social Networks Based on Peer-Assisted Learning e-Portfolios
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    Chapter 20 Social Media Retrieval
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Mentioned by

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Citations

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Title
Social Media Retrieval
Published by
Springer-Verlag London, January 2013
DOI 10.1007/978-1-4471-4555-4
ISBNs
978-1-4471-4554-7, 978-1-4471-4555-4, 978-1-4471-5971-1
Authors

Ramzan, Naeem, Zwol, Roelof, Lee, Jong-Seok, Clüver, Kai, Hua, Xian-Sheng, Kelm, Pascal, Murdock, Vanessa, Schmiedeke, Sebastian, Schockaert, Steven, Serdyukov, Pavel, Van Laere, Olivier

Editors

Naeem Ramzan, Roelof van Zwol, Jong-Seok Lee, Kai Clüver, Xian-Sheng Hua

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
United States 2 2%
Australia 1 1%
Cuba 1 1%
Iran, Islamic Republic of 1 1%
Sweden 1 1%
Estonia 1 1%
China 1 1%
Unknown 86 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 30%
Student > Ph. D. Student 28 29%
Researcher 7 7%
Professor > Associate Professor 7 7%
Student > Bachelor 7 7%
Other 14 15%
Unknown 4 4%
Readers by discipline Count As %
Computer Science 61 64%
Engineering 10 10%
Social Sciences 8 8%
Business, Management and Accounting 3 3%
Mathematics 3 3%
Other 5 5%
Unknown 6 6%